mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 21 Mar 2024

321 papers

  1. Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 ChallengeEnd-to-end autonomous driving → End-to-end system architecture
  2. Emergent World Models and Latent Variable Estimation in Chess-Playing Language ModelsWorld models → World models for language agents
  3. Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
  4. Robust Model Based Reinforcement Learning Using L1 Adaptive ControlDeep reinforcement learning methods → RL theory and sample complexity
  5. Osmosis: RGBD Diffusion Prior for Underwater Image RestorationDiffusion models → Inverse problems and image restoration
  6. Multimodal-Conditioned Latent Diffusion Models for Fashion Image EditingDiffusion models → 3D, point cloud and scene generation
  7. Latent Diffusion Models for Attribute-Preserving Image AnonymizationDiffusion models → Robustness, privacy and adversarial aspects
  8. Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question AnsweringLLM agents and tool use → Multimodal and embodied agents
  9. Champ: Controllable and Consistent Human Image Animation with 3D Parametric GuidanceDiffusion models → Video generation
  10. Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image AttackingDiffusion models → Robustness, privacy and adversarial aspects
  11. Few-Shot Adversarial Prompt Learning on Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  12. StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from TextWorld models → Video-generation world models and simulators +1
  13. Can 3D Vision-Language Models Truly Understand Natural Language?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
  14. VURF: A General-purpose Reasoning and Self-refinement Framework for Video UnderstandingLLM reasoning → Multimodal reasoning
  15. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  16. Simplified Diffusion Schr"odinger BridgeDiffusion models → Diffusion foundations and sampling
  17. ReNoise: Real Image Inversion Through Iterative NoisingDiffusion models → Image generation, text-to-image and editing
  18. MyVLM: Personalizing VLMs for User-Specific QueriesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  19. PSALM: Pixelwise SegmentAtion with Large Multi-Modal ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  20. Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium ProofOffline RL and imitation learning from data → Inverse reinforcement learning
  21. ReAct Meets ActRe: When Language Agents Enjoy Training Data AutonomyLLM agents and tool use → General LLM agent frameworks and benchmarks
  22. A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in ScienceLLM reasoning → Mathematical reasoning
  23. Agentic AI: The Era of Semantic DecodingLLM agents and tool use → General LLM agent frameworks and benchmarks
  24. Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient InferenceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  25. Constrained Reinforcement Learning with Smoothed Log Barrier FunctionDeep reinforcement learning methods → Safe and constrained RL
  26. Denoising Diffusion Models for 3D Healthy Brain Tissue InpaintingDiffusion models → Medical imaging and segmentation
  27. Learning to Project for Cross-Task Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  28. Analysing Diffusion Segmentation for Medical ImagesDiffusion models → Medical imaging and segmentation
  29. On the continuity and smoothness of the value function in reinforcement learning and optimal controlDeep reinforcement learning methods → RL theory and sample complexity
  30. Style-Extracting Diffusion Models for Semi-Supervised Histopathology SegmentationDiffusion models → Medical imaging and segmentation
  31. DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-TuningRetrieval-augmented generation → Privacy and security of RAG +1
  32. A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problemDeep reinforcement learning methods → RL for games and combinatorial optimization
  33. Physics-Informed Diffusion ModelsDiffusion models → Flow matching, time series and science
  34. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityRetrieval-augmented generation → RAG robustness and adaptive retrieval
  35. Pensieve: Retrospect-then-Compare Mitigates Visual HallucinationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  36. FIT-RAG: Black-Box RAG with Factual Information and Token ReductionRetrieval-augmented generation → RAG pipeline design and evaluation +1
  37. On the Concept Trustworthiness in Concept Bottleneck ModelsLLM reasoning → Reasoning benchmarks and evaluation
  38. nabla τ: Gradient-based and Task-Agnostic machine UnlearningLLM safety and security → Machine unlearning
  39. Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic RegressionDeep reinforcement learning methods → RL for robot locomotion and manipulation
  40. ChainLM: Empowering Large Language Models with Improved Chain-of-Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  41. Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion ModelsDiffusion models → Medical imaging and segmentation
  42. Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose EstimationDiffusion models → 3D, point cloud and scene generation
  43. Reactor Optimization Benchmark by Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  44. Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly DetectionDiffusion models → Medical imaging and segmentation
  45. ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion ClassificationLLM reasoning → Clinical and biomedical applications
  46. Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-ReflectionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  47. PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative LearningLLM agents and tool use → Educational agents and math problem solving
  48. Improving the Robustness of Large Language Models via Consistency AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  49. Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  50. MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  51. Policy Mirror Descent with LookaheadDeep reinforcement learning methods → RL theory and sample complexity
  52. Efficient Video Diffusion Models via Content-Frame Motion-Latent DecompositionDiffusion models → Video generation
  53. Empowering Segmentation Ability to Multi-modal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  54. C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature DispersionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  55. Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization CorrelationsLLM reasoning → Reasoning benchmarks and evaluation
  56. Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference MethodDeep reinforcement learning methods → RL for energy, networks and operations
  57. Reinforcement Learning Design for Quickest Change DetectionDeep reinforcement learning methods → RL theory and sample complexity
  58. Protein Conformation Generation via Force-Guided SE(3) Diffusion ModelsDiffusion models → Flow matching, time series and science
  59. Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media ForensicsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  60. QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility MappingDiffusion models → Medical imaging and segmentation
  61. LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsDiffusion models → Medical imaging and segmentation
  62. DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion ModelsDiffusion models → Flow matching, time series and science
  63. Accelerating ViT Inference on FPGA through Static and Dynamic PruningEfficient LLM inference and serving → Token pruning and merging for ViTs
  64. Depth-aware Panoptic Segmentation
  65. Application of Tensorized Neural Networks for Cloud Classification
  66. Semantically Aligned Question and Code Generation for Automated Insight Generation
  67. Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
  68. Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
  69. Evaluating the Performance of LLMs on Technical Language Processing tasks
  70. Sequential Decision-Making for Inline Text Autocomplete
  71. Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance
  72. Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
  73. A Causal Analysis of CO2 Reduction Strategies in Electricity Markets Through Machine Learning-Driven Metalearners
  74. On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
  75. Multiple and Gyro-Free Inertial Datasets
  76. Visual Analytics for Fine-grained Text Classification Models and Datasets
  77. Open Conversational LLMs do not know most Spanish words
  78. EEG decoding with conditional identification information
  79. Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives
  80. MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
  81. RakutenAI-7B: Extending Large Language Models for Japanese
  82. Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
  83. Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
  84. Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
  85. SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
  86. Antisocial Analagous Behavior, Alignment and Human Impact of Google AI Systems: Evaluating through the lens of modified Antisocial Behavior Criteria by Human Interaction, Independent LLM Analysis, and AI Self-Reflection
  87. AutoRE: Document-Level Relation Extraction with Large Language Models
  88. DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
  89. Establishing a leader in a pairwise comparisons method
  90. WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
  91. VidLA: Video-Language Alignment at Scale
  92. Learning Quadruped Locomotion Using Differentiable Simulation
  93. Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry
  94. Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
  95. iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations
  96. KeyPoint Relative Position Encoding for Face Recognition
  97. Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
  98. Learning WENO for entropy stable schemes to solve conservation laws
  99. Local Causal Discovery with Linear non-Gaussian Cyclic Models
  100. TAMS: Translation-Assisted Morphological Segmentation
All 321
  1. Hyperspectral Neural Radiance Fields
  2. Evaluating Panoramic 3D Estimation in Indoor Lighting Analysis
  3. Model order reduction of deep structured state-space models: A system-theoretic approach
  4. Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures
  5. Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
  6. Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
  7. Learning Gaussian Representation for Eye Fixation Prediction
  8. Crowdsourced Multilingual Speech Intelligibility Testing
  9. The opportunities and risks of large language models in mental health
  10. Curvature Augmented Manifold Embedding and Learning
  11. A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances
  12. Deep Active Learning: A Reality Check
  13. Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
  14. Planning and Acting While the Clock Ticks
  15. Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
  16. On the exploitation of DCT statistics for cropping detectors
  17. Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
  18. Gravitational Duals from Equations of State
  19. Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
  20. A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
  21. A task of anomaly detection for a smart satellite Internet of things system
  22. FedMef: Towards Memory-efficient Federated Dynamic Pruning
  23. NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks
  24. Foundation Models for Time Series Analysis: A Tutorial and Survey
  25. A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
  26. Open Knowledge Base Canonicalization with Multi-task Learning
  27. Reversible Jump Attack to Textual Classifiers with Modification Reduction
  28. Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
  29. Protected group bias and stereotypes in Large Language Models
  30. Zero-Shot Multi-Object Scene Completion
  31. MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
  32. ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer
  33. LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
  34. Language Repository for Long Video Understanding
  35. GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
  36. ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition
  37. Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
  38. Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
  39. AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
  40. DreamReward: Text-to-3D Generation with Human Preference
  41. Explorative Inbetweening of Time and Space
  42. T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
  43. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
  44. The Elements of Differentiable Programming
  45. Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
  46. VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
  47. Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
  48. An Analysis of Linear Time Series Forecasting Models
  49. Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
  50. Large Language Models for Multi-Choice Question Classification of Medical Subjects
  51. RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain
  52. A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
  53. Implicit Style-Content Separation using B-LoRA
  54. A survey on Concept-based Approaches For Model Improvement
  55. VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimation
  56. Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering
  57. Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
  58. Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
  59. Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot
  60. DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video
  61. Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images
  62. EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
  63. Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
  64. Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
  65. HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
  66. Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors
  67. VibNet: Vibration-Boosted Needle Detection in Ultrasound Images
  68. Building a Language-Learning Game for Brazilian Indigenous Languages: A Case of Study
  69. Machine-learning invariant foliations in forced systems for reduced order modelling
  70. View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
  71. Soft Learning Probabilistic Circuits
  72. MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
  73. How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
  74. Adversary-Robust Graph-Based Learning of WSIs
  75. COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
  76. DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing
  77. HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
  78. Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research
  79. Detoxifying Large Language Models via Knowledge Editing
  80. ChatGPT Alternative Solutions: Large Language Models Survey
  81. AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
  82. Recourse for reclamation: Chatting with generative language models
  83. Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets
  84. CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
  85. Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflow
  86. Multi-Level Explanations for Generative Language Models
  87. gTBLS: Generating Tables from Text by Conditional Question Answering
  88. Prediction of Translation Techniques for the Translation Process
  89. Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset
  90. More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of M=aori Word Segmentation across Morphological Processes
  91. Language Models Can Reduce Asymmetry in Information Markets
  92. RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
  93. Raw Instinct: Trust Your Classifiers and Skip the Conversion
  94. A Multimodal Approach to Device-Directed Speech Detection with Large Language Models
  95. Biased Binary Attribute Classifiers Ignore the Majority Classes
  96. Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
  97. Learning and communication pressures in neural networks: Lessons from emergent communication
  98. Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
  99. OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
  100. Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
  101. CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
  102. GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
  103. Locating and Mitigating Gender Bias in Large Language Models
  104. XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception
  105. Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning
  106. Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
  107. A Bag of Tricks for Few-Shot Class-Incremental Learning
  108. From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision
  109. Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
  110. Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts
  111. Tensor network compressibility of convolutional models
  112. Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
  113. InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity
  114. Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server
  115. SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
  116. CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
  117. SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
  118. WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models
  119. Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics
  120. Varroa destructor detection on honey bees using hyperspectral imagery
  121. Exploring the Potential of Large Language Models in Graph Generation
  122. DomainLab: A modular Python package for domain generalization in deep learning
  123. LDTR: Transformer-based Lane Detection with Anchor-chain Representation
  124. DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
  125. Annotation-Efficient Polyp Segmentation via Active Learning
  126. Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images
  127. Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives
  128. Exploring Task Unification in Graph Representation Learning via Generative Approach
  129. FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
  130. CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
  131. A Differentially Private Clustering Algorithm for Well-Clustered Graphs
  132. Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
  133. Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data
  134. Exosense: A Vision-Based Scene Understanding System For Exoskeletons
  135. A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
  136. SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
  137. DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision
  138. From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora
  139. Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
  140. HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting
  141. Exploring Green AI for Audio Deepfake Detection
  142. Enhancing Historical Image Retrieval with Compositional Cues
  143. Assessing the Robustness of Spectral Clustering for Deep Speaker Diarization
  144. How to be fair? A study of label and selection bias
  145. Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
  146. Multi-role Consensus through LLMs Discussions for Vulnerability Detection
  147. Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
  148. A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification
  149. LLM-based Extraction of Contradictions from Patents
  150. K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression
  151. LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding
  152. Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations
  153. ResNet101 and DAE for Enhance Quality and Classification Accuracy in Skin Cancer Imaging
  154. CATSE: A Context-Aware Framework for Causal Target Sound Extraction
  155. Isotropic Gaussian Splatting for Real-Time Radiance Field Rendering
  156. Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
  157. Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting
  158. A Unified Framework for Model Editing
  159. RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
  160. SoftPatch: Unsupervised Anomaly Detection with Noisy Data
  161. Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
  162. Recovering Latent Confounders from High-dimensional Proxy Variables
  163. Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights
  164. Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
  165. Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
  166. Automatic Annotation of Grammaticality in Child-Caregiver Conversations
  167. Unsupervised Audio-Visual Segmentation with Modality Alignment
  168. Debiasing surgeon: fantastic weights and how to find them
  169. Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
  170. PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference
  171. Quantum-activated neural reservoirs on-chip open up large hardware security models for resilient authentication
  172. StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
  173. OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
  174. Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
  175. M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset
  176. Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians
  177. Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation
  178. Volumetric Environment Representation for Vision-Language Navigation
  179. Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
  180. Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
  181. Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
  182. Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
  183. Genetic Programming for Explainable Manifold Learning
  184. Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
  185. SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
  186. Powerful Lossy Compression for Noisy Images
  187. 3D Object Detection from Point Cloud via Voting Step Diffusion
  188. Learning causal graphs using variable grouping according to ancestral relationship
  189. Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
  190. AI and Memory Wall
  191. External Knowledge Enhanced 3D Scene Generation from Sketch
  192. Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
  193. From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation
  194. A Design Space for Intelligent and Interactive Writing Assistants
  195. Training point-based deep learning networks for forest segmentation with synthetic data
  196. Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift
  197. Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
  198. HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
  199. Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
  200. MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
  201. DouRN: Improving DouZero by Residual Neural Networks
  202. Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
  203. Causal knowledge engineering: A case study from COVID-19
  204. Science based AI model certification for untrained operational environments with application in traffic state estimation
  205. Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
  206. Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training
  207. Surface Reconstruction from Point Clouds via Grid-based Intersection Prediction
  208. Learning-based Multi-continuum Model for Multiscale Flow Problems
  209. emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition
  210. EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
  211. Improving Lambda Signal Extraction with Domain Adaptation via Normalizing Flows
  212. M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
  213. A Taxonomy of Ambiguity Types for NLP
  214. Sampling Audit Evidence Using a Naive Bayes Classifier
  215. Automatic Outlier Rectification via Optimal Transport
  216. Thinking in Groups: Permutation Tests Reveal Near-Out-of-Distribution
  217. Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots
  218. Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions
  219. Extracting Emotion Phrases from Tweets using BART
  220. A Roadmap Towards Automated and Regulated Robotic Systems
  221. The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data